性别:男 户籍:涡阳县 年龄:25岁 打字速度:95字/分钟 (测试用电脑网页在线打字,所选文章【冰河】) 有无护照:有 有无案底:无案底 学历:大专 专业:文书档案管理 驾照:C2 目前所在地:重庆 目前状态:待业 是否可以随时出发:随时可以出发 是否愿意出国工作:愿意 对工作内容是否清楚:清楚知道是灰产 对于工作未满年需赔付公司所有费用是否知情:知道未工作满年需要赔付所有过去的费用以及公司投入在我身上的资源
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Channel
@AirdropVerifieSdss
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
58,245subscribers
+16,471 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001656038677 |
|---|---|
| Type | Channel |
| Username | @AirdropVerifieSdss |
| Description | 👉🏻广告合作: @TA_88888 本群🈲止黄图 硬广告 血腥图片 本群🈲辱骂女性 恶意造谣 黑地域 👉🏻 苗瓦迪互助群: @Miao_wadi 👉🏻频道群组发布求职信息: @TA_88888 👉🏻线上交易尽量走担保,被骗请带上记录曝光 👉🏻群主担保唯一地址尾号:QHQ86MM 👉🏻群主: @TA_88888 👉🏻骗人一次永久挂网上,涉及钱请各位多次验证慎重 👉🏻投稿爆料求职寻人联系: @QS66988 #东南亚 #菲律宾 #柬埔寨 #缅甸 #交流群 #老挝 #迪拜 #墨西哥 #土耳其 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/AirdropVerifieSdss |
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 66% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 20:46 | 58,245 | -128 |
| 5 Nov 2026, 19:47 | 58,373 | -163 |
| 4 Nov 2026, 20:59 | 58,536 | -68 |
| 3 Nov 2026, 17:46 | 58,604 | -338 |
| 2 Nov 2026, 18:58 | 58,942 | -106 |
| 1 Nov 2026, 16:15 | 59,048 | -31 |
| 31 Oct 2026, 15:31 | 59,079 | -12 |
| 30 Oct 2026, 18:28 | 59,091 | -371 |
| 29 Oct 2026, 17:46 | 59,462 | -14 |
| 28 Oct 2026, 21:05 | 59,476 | -23 |
| 27 Oct 2026, 22:36 | 59,499 | -19 |
| 26 Oct 2026, 23:25 | 59,518 | -62 |
| 25 Oct 2026, 22:25 | 59,580 | -12 |
| 24 Oct 2026, 21:49 | 59,592 | -20 |
| 24 Oct 2026, 01:06 | 59,612 | -15 |
| 23 Oct 2026, 00:41 | 59,627 | -21 |
| 21 Oct 2026, 22:01 | 59,648 | -21 |
| 20 Oct 2026, 20:19 | 59,669 | -5 |
| 19 Oct 2026, 22:01 | 59,674 | -8 |
| 18 Oct 2026, 19:56 | 59,682 | first reading |
120 posts held, back to 25 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 180 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 64 of 67 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 120 (25 July 2026 – 6 November 2026) |
| Views total | 243,332 |
| Reactions total | 7,679 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 11:02 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 58 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
8,320 reactions across 108 posts, in 13 distinct kinds. The most used accounts for 13.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,131 | 13.6% | |
| 🎉 | 927 | 11.1% | |
| 💯 | 913 | 11.0% | |
| ❤ | 903 | 10.9% | |
| 🔥 | 903 | 10.9% | |
| ❤🔥 | 880 | 10.6% | |
| 🥰 | 877 | 10.5% | |
| 🤩 | 876 | 10.5% | |
| 😍 | 850 | 10.2% | |
| 🍓 | 24 | 0.288% | |
| 😁 | 23 | 0.276% | |
| 🙏 | 11 | 0.132% | |
| 👏 | 2 | 0.024% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 109 of the 120 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 8,320 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 120 most recent posts we hold, published 25 July 2026 to 6 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram’s own ‘edited’ marker: 3 of 68 posts held from the last 30 days (4.41%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
性别:男 户籍:涡阳县 年龄:25岁 打字速度:95字/分钟 (测试用电脑网页在线打字,所选文章【冰河】) 有无护照:有 有无案底:无案底 学历:大专 专业:文书档案管理 驾照:C2 目前所在地:重庆 目前状态:待业 是否可以随时出发:随时可以出发 是否愿意出国工作:愿意 对工作内容是否清楚:清楚知道是灰产 对于工作未满年需赔付公司所有费用是否知情:知道未工作满年需要赔付所有过去的费用以及公司投入在我身上的资源
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酒后迷惑行为 #醉酒 #恋足
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学门手艺 魔术 谁懂啊 !
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招女孩子 国内上班 月3万起 外围资源缺人 不足三万本人给你补到3万 有的联系我: @tzmbu
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两个人 00后 来公司谈 其他勿扰(骗子 演员 鸽子 中介 ) 我的联系方式 @dkfwerz231 曝光一个自称在亚太的装逼犯,前面自己说的给我上押或者同台,说两个人给我1.5万U,一会儿亚太停电了,一会儿要问大哥,一会儿晚上,等到凌晨后又说不行,为了让大家都放心我同意跟他双押,担保他选,规则他定,反正到时间就各种找理由欺骗 之前也有人曝光过他 后来又发过澄清 估计演员的戏都没你多 昨天咨询了亚太客服 也咨询了其他在亚太周边的商家都没停电 😂戏太多 估计把自己都骗过去了 戏精本精飞机号:@tzk5200
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甩人 95年 31岁 正式闯荡的年纪 户籍重庆 劳务和中介勿扰 我一手 @d_c_Y_o
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杭州有老实人接盘了
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数字人崩老头
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手里有个25岁的人 有公司接吗 ? 私聊 @Yun_chu1
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你好 帮我发个招聘信息 招女孩子 国内上班 月3万起 外围资源缺人 不足三万本人给你补到3万 有的联系我: @tzmbu (本条信息为招聘广告真假信息自己辨别,300U/置顶3天轮推)
“女子称被公职人员推入自家饭馆厕所强奸” “丈夫发现二人聊天,假装妻子将公职人员约出来后,扭送派出所”🤡 明明就是女人出轨被抓,然后诬告奸夫强奸 一开始警方是秉公办事,没立案 后来国女又是“抑郁”和一哭二闹三上吊,施压警方又重新立案💩 为什么警方总吃国女这套?总是屈服于女诬,迫害无辜男性?
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人才🌚🌚
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Showing the 12 most recent of 120 posts we hold for @AirdropVerifieSdss. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
We recorded 11 posts on @AirdropVerifieSdss as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@AirdropVerifieSdss named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 22 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 November 2026 — this entry's latest reading, not the date you are reading this.
“全球曝光求职” (@AirdropVerifieSdss), 58,245 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/AirdropVerifieSdss.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.